 Firebird 1.5 QuickStart Frenchses propres objets ainsi que ceux que vous définissez dans : une base de données Firebird ! Plus précisément, il stocke ceux-ci en relations (tables) directement dans la Firebird 1.5 Guide de démarrage0 码力 | 29 页 | 192.46 KB | 1 年前3 Firebird 1.5 QuickStart Frenchses propres objets ainsi que ceux que vous définissez dans : une base de données Firebird ! Plus précisément, il stocke ceux-ci en relations (tables) directement dans la Firebird 1.5 Guide de démarrage0 码力 | 29 页 | 192.46 KB | 1 年前3
 TiDB and Amazon Aurorabinlog, and using SQL for real-time data analysis in TiDB TiDB typical scenarios Contrast Benchmark environment type remarks usage m4.2xlarge monitoring c5.4xlarge launched 3 sysbench processes in com/c4pt0r/b0c39f9da9360af2fb2c41ace274b30e Benchmark environment type remarks usage db.r4.4xlarge 16 vCPU 122 GB mem 1 writer + 5 replicas Aurora environment: Benchmark - Sysbench 16 tables, 10m rows/table 278.72 763,700.65 900 484,304.54 764,880.91 1200 502,705.22 762,363.69 1500 509,098.83 759,074.87 Benchmark - Sysbench - Point Select (QPS) Sysbench - Point Select (.95 Latency in ms) Thread TiDB 3.00 码力 | 57 页 | 2.52 MB | 6 月前3 TiDB and Amazon Aurorabinlog, and using SQL for real-time data analysis in TiDB TiDB typical scenarios Contrast Benchmark environment type remarks usage m4.2xlarge monitoring c5.4xlarge launched 3 sysbench processes in com/c4pt0r/b0c39f9da9360af2fb2c41ace274b30e Benchmark environment type remarks usage db.r4.4xlarge 16 vCPU 122 GB mem 1 writer + 5 replicas Aurora environment: Benchmark - Sysbench 16 tables, 10m rows/table 278.72 763,700.65 900 484,304.54 764,880.91 1200 502,705.22 762,363.69 1500 509,098.83 759,074.87 Benchmark - Sysbench - Point Select (QPS) Sysbench - Point Select (.95 Latency in ms) Thread TiDB 3.00 码力 | 57 页 | 2.52 MB | 6 月前3
 Best Practices for MySQL with SSDsknown methods reported on the following pages. About the Benchmark: TPC‐C and tpcc‐mysql TPC‐C is an OLTP industry standard benchmark developed and maintained by the Transaction Processing Performance read‐only and update‐intensive transactions that represent complex OLTP application activities. The benchmark implements five types of transactions (new order, payment, delivery, order status and stock level) traditionally I/O bound, thereby increasing throughput by orders of magnitude, measured with tpcc‐mysql benchmark. 3. Optimizing MySQL Server and Percona Server for SSDs We observed that the NVMe SSDs performed0 码力 | 14 页 | 416.88 KB | 1 年前3 Best Practices for MySQL with SSDsknown methods reported on the following pages. About the Benchmark: TPC‐C and tpcc‐mysql TPC‐C is an OLTP industry standard benchmark developed and maintained by the Transaction Processing Performance read‐only and update‐intensive transactions that represent complex OLTP application activities. The benchmark implements five types of transactions (new order, payment, delivery, order status and stock level) traditionally I/O bound, thereby increasing throughput by orders of magnitude, measured with tpcc‐mysql benchmark. 3. Optimizing MySQL Server and Percona Server for SSDs We observed that the NVMe SSDs performed0 码力 | 14 页 | 416.88 KB | 1 年前3
 Apache ShardingSphere 5.0.0-alpha Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx Process Result Data Make sure the location of result.jtl file is correct. sh shardingsphere-benchmark/report/script/gen_report0 码力 | 311 页 | 2.09 MB | 1 年前3 Apache ShardingSphere 5.0.0-alpha Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx Process Result Data Make sure the location of result.jtl file is correct. sh shardingsphere-benchmark/report/script/gen_report0 码力 | 311 页 | 2.09 MB | 1 年前3
 Apache ShardingSphere 中文文档 5.0.0-alphaid=? 压测类 参考shardingsphere‐benchmark实现,注意阅读其中的注释 编译 git clone https://github.com/apache/shardingsphere-benchmark.git cd shardingsphere-benchmark/shardingsphere-benchmark mvn clean install 压测执行 cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test.jmx test.jmx 参考 https://github.com/apache/shardingsphere-benchmark/tree/master/report/ eport/ script/test_plan/test.jmx 压测结果处理 注意修改为上一步生成的 result.jtl 的位置。 sh shardingsphere-benchmark/report/script/gen_report.sh 历史压测数据展示 正在进行中,请等待。 3.10.5 性能测试 (sysbench) 环境 推荐硬件环境 CPU: 32 Cores0 码力 | 301 页 | 3.44 MB | 1 年前3 Apache ShardingSphere 中文文档 5.0.0-alphaid=? 压测类 参考shardingsphere‐benchmark实现,注意阅读其中的注释 编译 git clone https://github.com/apache/shardingsphere-benchmark.git cd shardingsphere-benchmark/shardingsphere-benchmark mvn clean install 压测执行 cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test.jmx test.jmx 参考 https://github.com/apache/shardingsphere-benchmark/tree/master/report/ eport/ script/test_plan/test.jmx 压测结果处理 注意修改为上一步生成的 result.jtl 的位置。 sh shardingsphere-benchmark/report/script/gen_report.sh 历史压测数据展示 正在进行中,请等待。 3.10.5 性能测试 (sysbench) 环境 推荐硬件环境 CPU: 32 Cores0 码力 | 301 页 | 3.44 MB | 1 年前3
 Apache ShardingSphere 5.0.0 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.6. Test 299 Apache ShardingSphere document, v5.0.0 Process Result0 码力 | 403 页 | 3.15 MB | 1 年前3 Apache ShardingSphere 5.0.0 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.6. Test 299 Apache ShardingSphere document, v5.0.0 Process Result0 码力 | 403 页 | 3.15 MB | 1 年前3
 Apache ShardingSphere 5.1.1 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.7. Test 310 Apache ShardingSphere document, v5.1.1 Process Result0 码力 | 458 页 | 3.43 MB | 1 年前3 Apache ShardingSphere 5.1.1 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.7. Test 310 Apache ShardingSphere document, v5.1.1 Process Result0 码力 | 458 页 | 3.43 MB | 1 年前3
 Apache ShardingSphere 5.1.2 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.7. Test 322 Apache ShardingSphere document, v5.1.2 Process Result0 码力 | 503 页 | 3.66 MB | 1 年前3 Apache ShardingSphere 5.1.2 Documentshardingsphere‐benchmark Notes: the notes in shardingsphere‐ benchmark/README.md should be taken attention to Compile & Build git clone https://github.com/apache/shardingsphere-benchmark.git cd shar shardingsphere-benchmark/shardingsphere-benchmark mvn clean install Perform Test cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache- jmeter-4.0/lib/ext jmeter –n –t test_plan/test test_plan/test.jmx test.jmx example:https://github.com/apache/shardingsphere-benchmark/tree/master/ report/script/test_plan/test.jmx 7.7. Test 322 Apache ShardingSphere document, v5.1.2 Process Result0 码力 | 503 页 | 3.66 MB | 1 年前3
 8. Continue to use ClickHouse as TSDBDrivers, 10 Metrics ≈ 16.9 billion Rows ► Column-Orient Model How we do :) SELECT value FROM benchmark.tags WHERE (metric_name = 'cpu-usage_user') AND ((created_at >= '2016-01-01 08:00:00') AND (created_at Drivers, 10 Metrics ≈ 19.6 billion Rows ► Time-Series-Orient Model How we do :) SELECT value FROM benchmark.calc_tags_query WHERE (metric_name = 'cpu-usage_user') AND ((created_at >= '2016-01-01 08:00:00')0 码力 | 42 页 | 911.10 KB | 1 年前3 8. Continue to use ClickHouse as TSDBDrivers, 10 Metrics ≈ 16.9 billion Rows ► Column-Orient Model How we do :) SELECT value FROM benchmark.tags WHERE (metric_name = 'cpu-usage_user') AND ((created_at >= '2016-01-01 08:00:00') AND (created_at Drivers, 10 Metrics ≈ 19.6 billion Rows ► Time-Series-Orient Model How we do :) SELECT value FROM benchmark.calc_tags_query WHERE (metric_name = 'cpu-usage_user') AND ((created_at >= '2016-01-01 08:00:00')0 码力 | 42 页 | 911.10 KB | 1 年前3
 HBASE-21879 Read HFile ’s Block into ByteBuffer directly.pressure decreased after HBASE-21879, while it’s effect is not good as the disabled blockCache benchmark case now. Because as the cache hit ratio increased, we will have much less request to read the BlockCache: ~ 100% CacheHitRatio To ensure the HBASE-21879 won’t make high overhead, we made a benchmark in a small test data set which will have a 100% cacheHitRatio. Before HBASE-21879 After HBASE-218790 码力 | 18 页 | 1.14 MB | 1 年前3 HBASE-21879 Read HFile ’s Block into ByteBuffer directly.pressure decreased after HBASE-21879, while it’s effect is not good as the disabled blockCache benchmark case now. Because as the cache hit ratio increased, we will have much less request to read the BlockCache: ~ 100% CacheHitRatio To ensure the HBASE-21879 won’t make high overhead, we made a benchmark in a small test data set which will have a 100% cacheHitRatio. Before HBASE-21879 After HBASE-218790 码力 | 18 页 | 1.14 MB | 1 年前3
共 121 条
- 1
- 2
- 3
- 4
- 5
- 6
- 13














